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Principal component analysis tools to visualize matrix effects in quantitative LC-MS bioanalysis

机译:定量LC-MS生物分析中的主成分分析工具可视化矩阵效应

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Blood is of prime importance for bioanalysis, since samples can be easily obtained. Blood consists of figured elements suspended in plasma. The main feature of plasma is the presence of large amount of proteins. Therefore, prior to LC-MS/MS analysis, different sample preparations are currently used. The simplest method is to precipitate the proteins and isolate the supernatant. Other methods involve more complex techniques like solid phase extraction (SPE) or liquid-liquid extraction (LLE). However, after sample preparation, remaining endogenous compounds may interfere with analytes ionization and cause failure or errors in quantitative bioanalysis. Matrix effects, defined as "the direct or indirect alteration or interference in response due to the presence of unintended analytes (for analysis) or other interfering substances in the sample", are an important drawback when using protein precipitation strategy. This generally results in poor precision and accuracy and requires further method development. Matrix effects are currently assessed by two major strategies, post column infusion [1], and pre- / post spiking comparison techniques [2].
机译:血液是生物分析的主要重要性,因为可以容易地获得样品。血液由悬浮在血浆中的图形元素组成。血浆的主要特征是存在大量蛋白质。因此,在LC-MS / MS分析之前,目前使用不同的样品制剂。最简单的方法是沉淀蛋白质并分离上清液。其他方法涉及更复杂的技术,如固相萃取(SPE)或液液萃取(LLE)。然而,在样品制备之后,剩余的内源化合物可能干扰分析物电离并导致定量生物分析中的失效或误差。基质效应,定义为“由于存在意外的分析物(用于样品中的意外分析物(用于分析)或样品中的其他干扰物质而导致或间接变化或干扰”,是使用蛋白质降水策略时的重要缺点。这通常导致精度和准确性差,并且需要进一步的方法开发。目前通过两种主要策略,柱柱输液[1]和尖峰比较技术(尖峰比较技术)评估矩阵效应[2]。

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